4.6 Article

An Additive Graphical Model for Discrete Data

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Mathematics, Interdisciplinary Applications

Estimating Finite Mixtures of Ordinal Graphical Models

Kevin H. Lee et al.

Summary: Researchers introduced finite mixture of ordinal graphical models to study the heterogeneous conditional dependence relationships of ordinal data in psychological science. By developing a penalized likelihood approach and designing a generalized EM algorithm, the significant computational challenges were effectively addressed, demonstrating good performance in simulation studies and real applications.

PSYCHOMETRIKA (2022)

Article Biochemistry & Molecular Biology

Structural studies of antiviral inhibitor with HIV-1 protease bearing drug resistant substitutions of V32I, I47V and V82I

Shrikant Pawar et al.

BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS (2019)

Article Statistics & Probability

A Nonparametric Graphical Model for Functional Data With Application to Brain Networks Based on fMRI

Bing Li et al.

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2018)

Article Mathematics, Interdisciplinary Applications

An Introduction to Network Psychometrics: Relating Ising Network Models to Item Response Theory Models

M. Marsman et al.

MULTIVARIATE BEHAVIORAL RESEARCH (2018)

Article Statistics & Probability

Graphical Models for Ordinal Data

Jian Guo et al.

JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS (2015)

Article Evolutionary Biology

Modeling the Evolution of Complex Genetic Systems: The Gene Network Family Tree

Janna L. Fierst et al.

JOURNAL OF EXPERIMENTAL ZOOLOGY PART B-MOLECULAR AND DEVELOPMENTAL EVOLUTION (2015)

Article Biology

A Sparse Ising Model with Covariates

Jie Cheng et al.

BIOMETRICS (2014)

Article Statistics & Probability

On an Additive Semigraphoid Model for Statistical Networks With Application to Pathway Analysis

Bing Li et al.

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2014)

Article Statistics & Probability

NONCONCAVE PENALIZED COMPOSITE CONDITIONAL LIKELIHOOD ESTIMATION OF SPARSE ISING MODELS

Lingzhou Xue et al.

ANNALS OF STATISTICS (2012)

Article Statistics & Probability

REGULARIZED RANK-BASED ESTIMATION OF HIGH-DIMENSIONAL NONPARANORMAL GRAPHICAL MODELS

Lingzhou Xue et al.

ANNALS OF STATISTICS (2012)

Article Statistics & Probability

High-dimensional covariance estimation by minimizing l(1)-penalized log-determinant divergence

Pradeep Ravikumar et al.

ELECTRONIC JOURNAL OF STATISTICS (2011)

Article Statistics & Probability

HIGH-DIMENSIONAL ISING MODEL SELECTION USING l1-REGULARIZED LOGISTIC REGRESSION

Pradeep Ravikumar et al.

ANNALS OF STATISTICS (2010)

Article Statistics & Probability

NETWORK EXPLORATION VIA THE ADAPTIVE LASSO AND SCAD PENALTIES

Jianqing Fan et al.

ANNALS OF APPLIED STATISTICS (2009)

Article Statistics & Probability

KERNEL DIMENSION REDUCTION IN REGRESSION

Kenji Fukumizu et al.

ANNALS OF STATISTICS (2009)

Article Biochemical Research Methods

Analysis of correlated mutations in HIV-1 protease using spectral clustering

Ying Liu et al.

BIOINFORMATICS (2008)

Article Mathematical & Computational Biology

Sparse inverse covariance estimation with the graphical lasso

Jerome Friedman et al.

BIOSTATISTICS (2008)

Article Multidisciplinary Sciences

Genotypic predictors of human immunodeficiency virus type 1 drug resistance

Soo-Yon Rhee et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2006)

Article Statistics & Probability

Model selection and estimation in regression with grouped variables

M Yuan et al.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2006)

Article Virology

Covariation of amino acid positions in HIV-1 protease

NG Hoffman et al.

VIROLOGY (2003)

Article Biochemistry & Molecular Biology

Human immunodeficiency virus reverse transcriptase and protease sequence database

SY Rhee et al.

NUCLEIC ACIDS RESEARCH (2003)